Lab Technician

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 30,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.

Visit us at UST.com.

You Are

• A Senior Data Architect to lead the design and delivery of modern data platforms on Microsoft Azure. You'll own end-to-end architectures centered on Azure Databricks, Snowflake on Azure, dbt, and Azure Data Factory (ADF) with supporting services like Azure Data Lake Storage Gen2 (ADLS), Azure Synapse/Fabric pipelines, Microsoft Purview, Azure Event Hubs, Azure Key Vault, and Azure DevOps.
• This is a hands-on architecture role for someone who can set technical direction, mentor engineers, and ship scalable, reliable, and cost-efficient data solutions.
• The Opportunity:
• Set technical direction, mentor engineers and ship scalable, reliable and cost-efficient data solutions.
• Partner with client stakeholders to translate business goals into scalable Azure data architectures and delivery roadmaps.
• Architect and implement lakehouse/data warehouse solutions using Azure Databricks (Delta Lake/Unity Catalog), Snowflake on Azure, dbt (Core/Cloud), and ADLS Gen2 following medallion patterns.
• Design robust ingestion & transformation pipelines with ADF and/or Fabric/Synapse pipelines; orchestrate Databricks jobs, Delta Live Tables, and dbt models for ELT.
• Establish best practices for performance & cost (cluster sizing, autoscaling, Photon/SQL warehouse, Snowflake virtual warehouses, caching, file layout, Z-ordering) and drive observability with Azure Monitor/Log Analytics and Databricks metrics.
• Implement data governance & security with Microsoft Purview (catalog, lineage, policies), Unity Catalog, RBAC/ABAC, managed identities, Private Endpoints, VNet injection, and Key Vault-backed secrets.
• Lead code and design reviews; set standards for PySpark/SQL/dbt, testing (unit/integration), data quality (expectations/constraints), and CI/CD via Azure DevOps/GitHub Actions.
• Guide multi-domain programs across healthcare, retail, BFSI, or similar; mentor data engineers and ensure high-quality deliverables.
• Evangelize solutions through clear documentation, reference architectures, and stakeholder presentations.
• Stay current on Azure data & AI services (Databricks, Snowflake features, Fabric, Purview) and pragmatically introduce improvements.

What You Need

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• At least 15 years in data engineering/architecture with substantial hands-on depth in Azure.
• Expert in Azure Databricks & Apache Spark (PySpark/SQL), Delta Lake, Unity Catalog, job orchestration, and performance tuning.
• Strong Snowflake on Azure experience (schema design, performance/cost optimization, RBAC, streams/tasks).
• dbt expertise (project structure, tests, exposures, macros; Core or Cloud) and solid SQL/Python fundamentals.
• Proven track record building ETL/ELT pipelines with ADF and/or Synapse/Fabric pipelines; familiarity with Event Hubs/Kafka for streaming.
• Solid foundation in lakehouse and warehousing architectures, dimensional modeling, medallion patterns, and data quality frameworks.
• Security & governance know-how: Purview lineage/catalog, data masking, PII handling, managed identities, private networking.
• Excellent communication skills; able to produce architecture docs and present to technical and business audiences.
• Consulting/agency experience and the ability to lead multi-project portfolios; willingness to travel as needed.

Bonus Points

• Experience with Azure ML, feature stores, or serving ML pipelines from Databricks/Snowflake.
• Infrastructure as Code (Terraform/Bicep) for Azure data platforms, containerization with Docker.
• Observability tools (Great Expectations/Delta Expectations, Databricks quality flows, Monte Carlo, DataDog).
• Exposure to AWS or GCP is welcome but not required.
• Familiarity with AI/ML on Azure (e.g., Azure ML) is a plus.
• Certifications (Preferred)
  
  
  
  • Databricks Certified Data Engineer Professional (or Architect).
  • Microsoft Azure: DP-203 (Data Engineering), Azure Solutions Architect Expert, Azure Security Engineer Associate.
  • Snowflake: SnowPro Core / Advanced.
  
  
  
  

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Remote (West Coast, Seattle, WA preferred)

Compensation Range: $161,000 to $242,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent childcare, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters belonging, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and "fair chance" ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

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Databricks,Azure,Snowflake